Using Memoization In Python To Speed Up Slow Functions

Memoization is an optimization technique that speeds up programs by caching the results of previous function calls. This allows subsequent calls to reuse the cached results, avoiding time-consuming recalculation. The functools module included in Python's standard library provides two useful decorators for memoization. These decorators use a least recently used (LRU) cache, which stores items in order of use, discarding the least used items to make room for new items. Python 3 makes it incredibly easy to memorize functions.